Bart Kosko
#4,471
Most Influential Person
American academic
Bart Kosko's AcademicInfluence.com Rankings
Engineering
#575
World Rank
#954
Historical Rank
#245
USA Rank
Electrical Engineering
#92
World Rank
#107
Historical Rank
#41
USA Rank
Applied Physics
#314
World Rank
#325
Historical Rank
#72
USA Rank
Download Badge
Engineering
Bart Kosko's Degrees
- PhD Electrical Engineering University of California, Irvine
- Masters Electrical Engineering University of California, Irvine
- Bachelors Electrical Engineering University of California, Irvine
Why Is Bart Kosko Influential?
(Suggest an Edit or Addition)According to Wikipedia, Bart Andrew Kosko is a writer and professor of electrical engineering and law at the University of Southern California . He is a researcher and popularizer of fuzzy logic, neural networks, and noise, and the author of several trade books and textbooks on these and related subjects of machine intelligence.
Bart Kosko's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Papers
- GradientBased Learning Applied to Document Recognition (2001) (4165)
- Fuzzy Cognitive Maps (1986) (3217)
- Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence (1991) (2456)
- Bidirectional associative memories (1988) (1962)
- Fuzzy systems as universal approximators (1992) (1644)
- Neural networks and fuzzy systems (1998) (1338)
- Fuzzy Engineering (1996) (1092)
- Adaptive bidirectional associative memories. (1987) (1042)
- Fuzzy Thinking: The New Science of Fuzzy Logic (1993) (692)
- Fuzzy entropy and conditioning (1986) (617)
- Virtual Worlds as Fuzzy Cognitive Maps (1993) (488)
- Fuzziness vs. probability (1990) (422)
- Neural networks for signal processing (1992) (371)
- Hidden patterns in combined and adaptive knowledge networks (1988) (320)
- Adaptive fuzzy systems for backing up a truck-and-trailer (1992) (297)
- Adaptive stochastic resonance (1998) (275)
- Fuzzy function approximation with ellipsoidal rules (1996) (229)
- Unsupervised learning in noise (1990) (182)
- The shape of fuzzy sets in adaptive function approximation (2001) (151)
- ADAPTIVE INFERENCE IN FUZZY KNOWLEDGE NETWORKS (1993) (143)
- Image Denoising by Sparse Code Shrinkage (2001) (129)
- Stochastic Resonance in Continuous and Spiking Neuron Models With Levy Noise (2008) (119)
- Optimal Noise Benefits in Neyman–Pearson and Inequality-Constrained Statistical Signal Detection (2009) (113)
- Adaptive stochastic resonance in noisy neurons based on mutual information (2004) (110)
- Stochastic resonance in noisy threshold neurons (2003) (105)
- Comparison of fuzzy and neural truck backer-upper control systems (1990) (104)
- What is the best shape for a fuzzy set in function approximation? (1996) (103)
- Stochastic competitive learning (1990) (102)
- Visual Structures and Integrated Functions (1991) (101)
- Robust stochastic resonance: signal detection and adaptation in impulsive noise. (2001) (93)
- Fuzzy associative memories (1991) (91)
- Optimal fuzzy rules cover extrema (1995) (89)
- Fuzzy knowledge combination (1986) (86)
- Differential Hebbian learning (2008) (82)
- Noise-enhanced convolutional neural networks (2016) (78)
- Constructing an associative memory (1987) (75)
- Intelligent Signal Processing (2001) (69)
- Differential competitive learning for centroid estimation and phoneme recognition (1991) (67)
- Global stability of generalized additive fuzzy systems (1998) (61)
- Noise-Enhanced Detection of Subthreshold Signals With Carbon Nanotubes (2006) (60)
- Nanosignal processing: Stochastic resonance in carbon nanotubes that detect subthreshold signals (2003) (60)
- The probability monopoly (1994) (58)
- Robust stochastic resonance for simple threshold neurons. (2004) (57)
- Noise Benefits in Quantizer-Array Correlation Detection and Watermark Decoding (2011) (57)
- Fuzzy throttle and brake control for platoons of smart cars (1996) (56)
- Stochastic resonance in noisy spiking retinal and sensory neuron models (2005) (49)
- Pattern Recognition Using a Family of Design Algorithms Based upon the Generalized Probabilistic Descent Method (2001) (46)
- Adaptive fuzzy systems for target tracking (1992) (45)
- Fuzzy function learning with covariance ellipsoids (1993) (42)
- Fuzzy cognitive maps of public support for insurgency and terrorism (2017) (40)
- Fuzzy prediction and filtering in impulsive noise (1996) (38)
- Optimal Mean-Square Noise Benefits in Quantizer-Array Linear Estimation (2010) (37)
- Feedback stability and unsupervised learning (1988) (36)
- Humanistic Intelligence: WearComp as a new framework and application for intelligent signal processing (2001) (35)
- Fuzzy function approximation (1992) (35)
- Structural stability of unsupervised learning in feedback neural networks (1991) (33)
- Noise-enhanced clustering and competitive learning algorithms (2013) (32)
- Bayesian Inference With Adaptive Fuzzy Priors and Likelihoods (2011) (32)
- Noise benefits in backpropagation and deep bidirectional pre-training (2013) (30)
- The Noisy Expectation Maximization Algorithm (2013) (29)
- Virtual Worlds as Fuzzy Dynamical Systems (1996) (29)
- Function approximation with additive fuzzy systems (1995) (29)
- Adaptive joint fuzzy sets for function approximation (1997) (27)
- Adaptive fuzzy frequency hopper (1995) (26)
- Optical Bidirectional Associative Memories (1987) (25)
- Modeling gunshot bruises in soft body armor with an adaptive fuzzy system (2005) (24)
- Error-probability noise benefits in threshold neural signal detection (2009) (24)
- Additive Fuzzy Systems: From Generalized Mixtures to Rule Continua (2018) (23)
- The Noisy Expectation-Maximization Algorithm for Multiplicative Noise Injection (2016) (23)
- Noise can speed convergence in Markov chains. (2011) (23)
- Counting with Fuzzy Sets (1986) (22)
- Fuzzy thinking (2018) (21)
- A Signal Processing Framework Based on Dynamic Neural Networks with Application to Problems in Adaptation, Filtering and Classification (2001) (21)
- Neural Fuzzy Agents for Profile Learning and Adaptive Object Matching (1998) (19)
- Quantum forbidden-interval theorems for stochastic resonance (2008) (19)
- Bidirectional Backpropagation (2020) (18)
- Addition as fuzzy mutual entropy (1993) (17)
- Image coding with fuzzy image segmentation (1992) (17)
- Neural fuzzy motion estimation and compensation (1997) (17)
- Noise can speed backpropagation learning and deep bidirectional pretraining (2020) (17)
- Using Noise to Speed up Markov Chain Monte Carlo Estimation (2015) (17)
- Noisy hidden Markov models for speech recognition (2013) (16)
- Additive fuzzy systems: from function approximation to learning (1996) (16)
- Local Dynamic Modeling with SelfOrganizing Maps and Applications to Nonlinear System Identification and Control (2001) (15)
- Using noise to speed up video classification with recurrent backpropagation (2017) (13)
- Noise-boosted bidirectional backpropagation and adversarial learning (2019) (13)
- Special Issue On Intelligent Signal Processing (1998) (13)
- Incorporating Prior Information in Machine Learning by Creating Virtual Examples (2001) (13)
- Noise benefits in the expectation-maximization algorithm: Nem theorems and models (2011) (12)
- Optimal noise benefits in Neyman-Pearson signal detection (2008) (10)
- Applications of Forbidden Interval Theorems in Stochastic Resonance (2009) (10)
- Probable equivalence, superpower sets, and superconditionals (2004) (10)
- Fuzzy control for platoons of smart cars (1994) (9)
- Causal Modeling with Feedback Fuzzy Cognitive Maps (2019) (9)
- Bidirectional Associative Memories: Unsupervised Hebbian Learning to Bidirectional Backpropagation (2021) (9)
- Vision as Causal Activation and Association (1985) (8)
- Training Generative Adversarial Networks with Bidirectional Backpropagation (2018) (8)
- Triply fuzzy function approximation for hierarchical Bayesian inference (2012) (7)
- Noise can speed Markov chain Monte Carlo estimation and quantum annealing. (2019) (7)
- Fuzzy function approximation and intelligent agents (1997) (7)
- Mutual-Information Noise Benefits in Brownian Models of Continuous and Spiking Neurons (2006) (7)
- Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps (2019) (7)
- Differential competitive learning for phoneme recognition (1992) (7)
- Levy Noise Benefits in Neural Signal Detection (2007) (6)
- An Approach to Adaptive Classification (2001) (6)
- Fuzzy subimage classification in image sequence coding (1992) (6)
- Hybrid fuzzy ellipsoidal learning (1993) (6)
- Noise-benefit forbidden-interval theorems for threshold signal detectors based on cross correlations. (2014) (6)
- Converting Neural Networks to Rule Foam (2019) (5)
- Introduction to Fuzzy Set Theory (1990) (5)
- A Metric Space Approach to the Specification of the Heuristic Function for the A* Algorithm (1994) (5)
- Adaptive stochastic resonance with fuzzy systems (1998) (5)
- Random Fuzzy-Rule Foams for Explainable AI (2021) (4)
- High Capacity Neural Block Classifiers with Logistic Neurons and Random Coding (2020) (4)
- Semiparametric Support Vector Machines for Nonlinear Model Estimation (2001) (4)
- Convergence of Generalized Probability Mixtures That Describe Adaptive Fuzzy Rule-based Systems (2020) (4)
- Neural fuzzy agents that learn a user's preference map (1997) (3)
- Hybrid ellipsoidal learning and fuzzy control for platoons of smart cars (1993) (2)
- Quantizer noise benefits in nonlinear signal detection with alpha-stable channel noise (2009) (2)
- Adaptive fuzzy system for transform image coding (1991) (2)
- Triply fuzzy function approximation for Bayesian inference (2011) (2)
- ReducedRank Intelligent Signal Processing with Application to Radar (2001) (2)
- Neural fuzzy agents for profile learning and object matching (1997) (2)
- Corrigendum to "Noise enhanced clustering and competitive learning algorithms" [Neural Networks 37 (2013) 132-140] (2013) (2)
- Adaptive fuzzy frequency hopping system (1993) (2)
- Deeper Neural Networks with Non-Vanishing Logistic Hidden Units: NoVa vs. ReLU Neurons (2021) (2)
- Deterministic Annealing for Clustering, Compression, Classification, Regression, and Speech Recognition (2001) (2)
- Bayesian Bidirectional Backpropagation Learning (2021) (2)
- Adaptive fuzzy priors for Bayesian inference (2009) (2)
- Adaptive stochastic resonance for noisy threshold neurons based on mutual information (2002) (2)
- Generalized mixture representations and combinations for additive fuzzy systems (2017) (2)
- Additive Fuzzy Systems as Generalized Probability Mixture Models (2015) (2)
- Evidence for stochastic resonance in threshold systems based on mutual information (2002) (2)
- Ellipsoidal fuzzy learning for smart car platoons (1993) (1)
- QUANTUM FORBIDDEN-INTERVAL THEOREMS FOR STOCHASTIC RESONANCE WITH SQUEEZED LIGHT (2006) (1)
- Stochastic Resonance Noise Benefits in Markov Chain Monte Carlo Density Estimation (2010) (1)
- Stochastic Resonance with Adaptive Fuzzy Systems (1998) (1)
- Stability in feedback additive fuzzy systems (1996) (1)
- Data Representation Using Mixtures of Principal Components (2001) (1)
- Stability and Adaptation of Neural Networks (1990) (1)
- Bayesian Rule Posteriors from a Rule Foam (2020) (1)
- Uniform Mixture Convergence of Continuously Transformed Fuzzy Systems (2021) (1)
- Bayesian Pruned Random Rule Foams for XAI (2021) (1)
- Noise Benefits in Feedback Machine Learning: Bidirectional Backpropagation (2019) (1)
- Neural signal-detection noise benefits based on error probability (2009) (1)
- Noise benefits in spiking retinal and sensory neuron models (2005) (1)
- Uniform Convergence of Probability Mixtures that Represent Combined Fuzzy Systems (2022) (1)
- OCCAM (Orifice-Controlled Canister Munition) Quarterly R/D Status Report (2nd): September-November 1986 (1986) (0)
- Neural Fuzzy Agents for Database Search (1997) (0)
- Neural fuzzy stochastic resonance (1998) (0)
- Equilibrium in local marijuana games (1991) (0)
- Erratum to "Bidirectional Associative Memories: Unsupervised Hebbian Learning to Bidirectional Backpropagation" (2021) (0)
- Deeper Bidirectional Neural Networks with Generalized Non-Vanishing Hidden Neurons (2022) (0)
- A conditioning interval based on superconditionals and superpower sets (2002) (0)
- Fuzzy modeling of gunshot bruises in soft body armor (2004) (0)
- Fuzzy Systems (2017) (0)
- Triply fuzzy function approximation for hierarchical Bayesian inference (2012) (0)
- Bidirectional Backpropagation for High-Capacity Blocking Networks (2021) (0)
- Adaptive Fuzzy Systems (1992) (0)
- Stochastic Resonance: Foreword (2008) (0)
- Nanotube Stochastic Resonance : Noise – enhanced Detection of Subthreshold Signals (2004) (0)
- OCCAM (Orifice-Controlled Canister Munition) Quarterly R/D Status Report (3rd): December 1986-February 1987 (1987) (0)
- Optimal fuzzy hierarchical decisions (1986) (0)
- 2 Proof Strategy : What Goes Down Must Go Up (2009) (0)
- Neural fuzzy agents that learn profiles and search databases (1997) (0)
- NEURAL FUZZY ELLIPSOIDAL LEARNING AND PLATOON CONTROL (1995) (0)
- Fuzziness and Probability Based on Texts from Russell's Paradox (1995) (0)
- Bootstrap Tail Thickness Estimation for Symmetric Alpha-Stable Random Variables (2011) (0)
- Noisy Expectation-Maximization: Applications and Generalizations (2018) (0)
- OCCAM First Quarterly Research and Development Status Report: June- August 1986 (1986) (0)
- Learning in the Presence of Noise (2001) (0)
- Neural Fuzzy Intelligent Agents (1999) (0)
- MOU 57C FINAL REPORT (1995) (0)
- Bayesian Rule Ontologies For XAI Classification and Regression (2022) (0)
- Adaptive stochastic resonance and fuzzy approximation (1998) (0)
- Bayes Theorem Extends to Overlapping Hypotheses (2019) (0)
- Almost all noise types can improve the mutual information of threshold neurons that detect subthreshold signals (2003) (0)
- Motion Estimation and Compensation with Neural Fuzzy Systems (2000) (0)
This paper list is powered by the following services:
Other Resources About Bart Kosko
What Schools Are Affiliated With Bart Kosko?
Bart Kosko is affiliated with the following schools:
